A combination of GA and CSO for feature selection

A combination of GA and CSO for feature selection in classification accuracy maximization
ダウンロード: 509
更新 2020/2/11

ライセンスの表示

A combination of Genetic algorithm (GA) and Cuckoo Search Optimization (CSO) for feature selection in classification accuracy maximization.

Instead of Levy flight, I used GA breed and mutation for cuckoo updates.
I have used Naive Bayes classification in the code, but you can replace it with any other classifier.

引用

Majid Farzaneh (2024). A combination of GA and CSO for feature selection (https://www.mathworks.com/matlabcentral/fileexchange/74229-a-combination-of-ga-and-cso-for-feature-selection), MATLAB Central File Exchange. 取得済み .

MATLAB リリースの互換性
作成: R2019b
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linux
カテゴリ
Help Center および MATLAB AnswersStatistics and Machine Learning Toolbox についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
バージョン 公開済み リリース ノート
1.0.0